Prevalence and Perception of Artificial Intelligence Use Among Medical Students at Napata College (2026)
Prevalence and Perception of Artificial Intelligence Use Among Medical Students at Napata College (2026)
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Date
2026
Authors
Mohammed AL.Mostafa Naje AL.fahal Absher
Osama Alhadi Mohammed Adam
Minan fakhredin Ibrahim abdalftah
Mahasin Al-Siddiq Mohammed Hussein
Afaf Alkhair Abdullah Mustafa
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Journal ISSN
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Publisher
Napata College
Abstract
Abstract
Background Artificial Intelligence (AI) is rapidly transforming medical education,
moving from a novelty to a fundamental tool for modern medical training. While
global data shows high adoption rates, there is a significant gap in research regarding
AI use in regions like Sudan, where infrastructure and access differ from high-income
countries.
Objectives This study aimed to determine the prevalence of AI use, identify the
specific tools and patterns of utilization, and assess the perceptions toward AI among
medical students at Napata College in 2026.
Methodology A descriptive cross-sectional facility-based study was conducted
among undergraduate medical and health sciences students at Napata College. A
sample of 262 participants was selected using simple random sampling. Data were
collected via an online Google Forms questionnaire and analyzed using IBM SPSS
Statistics version 26.
Results The prevalence of AI use was nearly universal at 92.0%, with 71.7% of
students using these tools at least weekly. ChatGPT was the most popular platform
(72.9%), primarily used for clarifying difficult concepts (59.5%), summarizing
materials (50.8%), and exam preparation (50.0%). While 53.4% of students agreed
that AI saves study time, trust in AI-generated information was low (28.7%), and 44.2%
expressed concern regarding the potential reduction of critical thinking skills. Notably,
67.6% of students advocated for the formal integration of AI training into the
curriculum.
Conclusion AI is deeply integrated into the academic routines of medical
students at Napata College, despite a lack of formal guidance. There is a
critical imbalance between high usage and low confidence in reliability.
These findings underscore an urgent need for structured AI education to
ensure that future physicians use these technologies effectively, ethically,
and responsibly.
Keywords: Artificial Intelligence, Medical Education, ChatGPT, Suda
Description
Napata College